Humidity estimation using neural network and optical fiber sensor

An optical fiber (OF) sensor with enhanced dynamic range and high sensitivity is realized to detect varying range of relative humidity (RH). For precise and independent estimation/prediction of RH from its nonlinear response, feed forward artificial neural network (ANN) model is developed. Preprocessed stable sensor outputs and corresponding commercial sensor outputs were used to train ANN. Results show that ANN has been effective in successfully predicting RH from the response of OF sensor. Overall, neural network approach showed better performance in comparison to alternative calibration method. (C) 2009 Wiley Periodicals, Inc. Microwave Opt Technol Lett 51: 641-645, 2009; Published online in Wiley InterScience (www.interscience.wiley.com), DOI 10.1002/mop.24132